Name
Abstract | ||
|---|---|---|
This paper proposes a system for converting handwritten words and numbers into a text file. Our system uses A CNN based method to identify letter and digits. This Automatic system requires image preprocessing, classifying into letters and digits and saving the letter into a text file. The system consists of a touchscreen as a user interface, an Arduino board (microcontroller ATmega 2560) and MATLAB. Any type of handwriting is tested with the classifying process; we got 89% accuracy using our own dataset. Both letter and digits can be recognized and converted into text file using this process. The proposed system will lessen the labor of creating electronic documents and provide easy preservation of data |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/tencon.2018.8650269 | TENCON IEEE Region 10 Conference Proceedings |
Keywords | Field | DocType |
Touchscreen,CNN,Hand-writing recognition,AlexNet | MATLAB,Engineering drawing,Handwriting,Computer science,Touchscreen,Arduino,Electronic engineering,Preprocessor,Microcontroller,Artificial neural network,User interface | Conference |
ISSN | Citations | PageRank |
2159-3442 | 0 | 0.34 |
References | Authors | |
0 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bidya Debnath | 1 | 0 | 0.34 |
| Adrita Anika | 2 | 0 | 0.34 |
| Mohammed Abid Abrar | 3 | 0 | 0.68 |
| Tanney Chowdhury | 4 | 0 | 0.34 |
| Rajat Chakraborty | 5 | 0 | 1.01 |
| Asir Intisar Khan | 6 | 0 | 2.03 |
| Shaikh Anowarul Fattah | 7 | 82 | 22.70 |
| Celia Shahnaz | 8 | 122 | 25.95 |